Autor: |
Cen Wu, Xiaoyu Wei, Zhiyang Huang, Zhixiong Zheng, Wei Zhang, Jiajun Chen, Hongchang Hong, Weili Li |
Jazyk: |
angličtina |
Rok vydání: |
2024 |
Předmět: |
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Zdroj: |
Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-17 (2024) |
Druh dokumentu: |
article |
ISSN: |
1479-5876 |
DOI: |
10.1186/s12967-024-05446-7 |
Popis: |
Abstract Background Bladder cancer is a common malignancy with high recurrence rate. Early diagnosis and recurrence surveillance are pivotal to patients’ outcomes, which require novel minimal-invasive diagnostic tools. The urinary microbiome is associated with bladder cancer and can be used as biomarkers, but the underlying mechanism is to be fully illustrated and diagnostic performance to be improved. Methods A total of 23 treatment-naïve bladder cancer patients and 9 non-cancerous subjects were enrolled into the Before group and Control group. After surgery, 10 patients from the Before group were further assigned into After group. Void mid-stream urine samples were collected and sent for 16S rDNA sequencing, targeted metabolomic profiling, and flow cytometry. Next, correlations were analyzed between microbiota, metabolites, and cytokines. Finally, receiver operating characteristic (ROC) curves of the urinary biomarkers were plotted and compared. Results Comparing to the Control group, levels of IL-6 (p |
Databáze: |
Directory of Open Access Journals |
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